
\begin{table}
\begin{center}
\begin{tabular}{l c c c}
\hline
 & Log gross monthly earnings & ISEI-score & Worries about workplace security \\
\hline
Kreis-level move         & $0.047^{***}$ & $0.236$   & $0.017$   \\
                         & $(0.012)$     & $(0.255)$ & $(0.011)$ \\
\hline
Individual fixed-effects & YES           & YES       & YES       \\
Time fixed-effect        & YES           & YES       & YES       \\
N                        & $188192$      & $138367$  & $185039$  \\
N individuals            & $43607$       & $32938$   & $42187$   \\
N years                  & $12$          & $8$       & $12$      \\
\hline
\multicolumn{4}{l}{\scriptsize{$^{***}p<0.01$; $^{**}p<0.05$; $^{*}p<0.1$. Kreis-level move is defined as a cumulative count-variable. All models include relevant control variables: Models with socio-economic outcomes include work experience, work experience squared, education group, and household type as control variables. Standard errors are clustered at the Kreis-level. Source: SOEP v.37, 2009-2020.}}
\end{tabular}
\caption{Kreis-level moves: Socio-economic Outcomes}
\label{tab:fe_mech_econ_moved_womm}
\end{center}
\end{table}
